




'''simple docstring'''







from collections import deque







def 						_A      ( UpperCAmelCase						):






   '''simple docstring'''







   A__       =     len(UpperCAmelCase						)
   A__       =     deque()
   A__       =     [False for _ in range(UpperCAmelCase						)]
   A__       =     [-1 for _ in range(UpperCAmelCase						)]
   A__       =     index_of[:]

   def strong_connect(UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase						):
      A__       =     index  # the number when this node is seen
      A__       =     index  # lowest rank node reachable from here
      index += 1
      stack.append(UpperCAmelCase						)
      A__       =     True

      for w in g[v]:
         if index_of[w] == -1:
            A__       =     strong_connect(UpperCAmelCase      ,UpperCAmelCase      ,UpperCAmelCase						)
            A__       =     (
                lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
            )
         elif on_stack[w]:
            A__       =     (
                lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
            )

      if lowlink_of[v] == index_of[v]:
         A__       =     []
         A__       =     stack.pop()
         A__       =     False
         component.append(UpperCAmelCase						)
         while w != v:
            A__       =     stack.pop()
            A__       =     False
            component.append(UpperCAmelCase						)
         components.append(UpperCAmelCase						)
      return index

   A__       =     []
   for v in range(UpperCAmelCase						):
      if index_of[v] == -1:
         strong_connect(UpperCAmelCase      ,0      ,UpperCAmelCase						)

   return components







def 						_A      ( UpperCAmelCase      ,UpperCAmelCase						):






   '''simple docstring'''







   A__       =     [[] for _ in range(UpperCAmelCase						)]
   for u, v in edges:
      g[u].append(UpperCAmelCase						)
   return g


if __name__ == "__main__":
    # Test
    lowerCAmelCase_     						=				7
    lowerCAmelCase_     						=				[0, 0, 1, 2, 3, 3, 4, 4, 6]
    lowerCAmelCase_     						=				[1, 3, 2, 0, 1, 4, 5, 6, 5]
    lowerCAmelCase_     						=				[(u, v) for u, v in zip(source, target)]
    lowerCAmelCase_     						=				create_graph(n_vertices, edges)

    assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)








'''simple docstring'''







from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)

@dataclass
class 	_snake_case(			UpperCAmelCase      ):
 __snake_case:							Union[List[PIL.Image.Image], np.ndarray]
 __snake_case:							Optional[List[bool]]
 __snake_case:							Optional[List[bool]]


try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
    from .pipeline_if import IFPipeline
    from .pipeline_if_imgaimg import IFImgaImgPipeline
    from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
    from .pipeline_if_inpainting import IFInpaintingPipeline
    from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
    from .pipeline_if_superresolution import IFSuperResolutionPipeline
    from .safety_checker import IFSafetyChecker
    from .watermark import IFWatermarker


